Second Call for Papers:
EvoCOP 2023 – The 23nd European Conference on
Evolutionary Computation in Combinatorial Optimisation
April 12 – 14, 2023
held as part of EvoStar (http://www.evostar.org)
Venue: Brno, Czech Republic
** EvoCOP is CORE Rank B **
Submission deadline: November 1, 2022
The 23nd European Conference on Evolutionary Computation in Combinatorial
Optimisation is a multidisciplinary conference that brings together
working on applications and theory of evolutionary computation methods and
other metaheuristics for solving difficult combinatorial optimisation
appearing in various industrial, economic, and scientific domains.
Successfully solved problems include, but are not limited to,
uncertain, dynamic and stochastic problems in the context of scheduling,
timetabling, network design, transportation and distribution, vehicle
stringology, graphs, satisfiability, energy optimisation, cutting, packing,
planning and search-based software engineering.
The EvoCOP 2023 conference will be held somewhere on Earth, together
with EuroGP (the 26th European Conference on Genetic Programming), EvoMUSART
(the 12th European conference on evolutionary and biologically inspired
sound, art and design) and EvoApplications (the 26th European Conference on
Applications of Evolutionary Computation), and a special track on
Evolutionary Machine Learning in a joint event collectively known as
Accepted papers will be published by Springer Nature in the Lecture Notes in
Computer Science series. (See https://link.springer.com/conference/evocop
Download the CFP in PDF format:
The best regular paper presented at EvoCOP 2023 will be distinguished
with a Best Paper Award.
EvoCOP conference is ranked B in the CORE 2021 ranking:
**** Areas of Interest and Contributions ****
EvoCOP welcomes submissions in all experimental and theoretical aspects of
evolutionary computation and other metaheuristics to combinatorial
problems, including (but not limited to) the following areas:
* Applications of metaheuristics to combinatorial optimisation problems
* Theoretical developments
* Neighbourhoods and efficient algorithms for searching them
* Variation operators for stochastic search methods
* Constraint-handling techniques
* Parallelisation and grid computing
* Search space and landscape analyses
* Comparisons between different (also exact) methods
* Automatic algorithm configuration and design
Prominent examples of metaheuristics include (but are not limited to):
* Evolutionary algorithms
* Estimation of distribution algorithms
* Swarm intelligence methods such as ant colony and particle swarm
* Artificial immune systems
* Local search methods such as simulated annealing, tabu search, variable
neighbourhood search, iterated local search, scatter search and path
* Hybrid methods such as memetic algorithms
* Matheuristics (hybrids of exact and heuristic methods)
* Hyper-heuristics and autonomous search
* Surrogate-model-based methods
Notice that, by tradition, continuous/numerical optimisation is *not* part
the topics of interest of EvoCOP. Interested authors might consider
to other EvoStar conferences such as EvoApplications.
**** Submission Details ****
Paper submissions must be original and not published elsewhere. The
will be peer reviewed by members of the program committee. The reviewing
process will be double-blind, please omit information about the authors in
submitted paper. Submit your manuscript in Springer LNCS format:
KI-Camp 2021. Im Dialog. Mit Algorithmen. Für die Gesellschaft.
Auf dem KI-Camp 2021, der transdisziplinären KI-Forschungs-Convention für den wissenschaftlichen Nachwuchs, treffen sich auf Initiative des Bundesministeriums für Bildung und Forschung (BMBF) und der GI am 27. April 2021 zum zweiten Mal die KI-Forschenden, die nicht unbedingt nebeneinander im Hörsaal sitzen, aber ein gemeinsames Forschungs- und Wirkungsgebiet haben: Künstliche Intelligenz.
In diesen sieben Tracks wird es auf Deutsch und Englisch spannende Themen in interaktiven Formaten geben:
– Gesellschaft – Nachhaltigkeit – Gesundheit und Lebenswissenschaften – Smart Spaces und Mobilität – Produktion – Kunst und Medien – Wissenschaft
Darüber hinaus sucht die GI im Rahmen des KI-Camp erneut 10 junge KI-Newcomer/innen unterschiedlicher Disziplinen, die auf dem KI-Camp gekürt werden.
Die Bewerbungsphase für das KI-Camp 2021 endet am 6. Dezember. KI-Newcomer/innen können bis zum 13. Dezember nominiert werden. Bewerbung und Nominierung sowie weitere Informationen unter www.kicamp.org und www.kicamp.org/en.
Weitere Fragen beantwortet das KI-Camp Team gerne unter email@example.com.
Special Issue on Genetic Programming and Evolvable Machines
The journal “Genetic Programming and Evolvable Machines” (Q2, IF:
1.78) will publish a Special Issue called “Evolutionary computation in
Art, music & Design”. The editors of this Special Issue will be Juan
Romero and Penousal Machado. Some authors from EvoMUSART 2021 will be
invited to submit a new paper to this Special Issue.
The main goal of EvoMUSART is to bring together researchers who are
using Artificial Intelligence techniques (e.g. Artificial Neural
Network, Evolutionary Computation, Swarm, Cellular Automata, Alife)
for artistic tasks such as Visual Art, Music, Architecture, Video,
Digital Games, Poetry, or Design. The conference gives researchers in
the field the opportunity to promote, present and discuss ongoing work
in the area.
Accepted papers will be published by Springer Verlag in the Lecture
Notes in Computer Science series.
Submission deadline: 1 November 2020
Conference: 7-9 April 2021
We welcome submissions which use Artificial Intelligence techniques in
the generation, analysis and interpretation of Art, Music, Design,
Architecture and other artistic fields. Submissions must be at most 16
pages long, in Springer LNCS format. Each submission must be
anonymised for a double-blind review process. The deadline for
submission is 1 November 2020. Accepted papers will be presented
orally or as posters at the event and included in the EvoMUSART
proceedings published by Springer Verlag in a dedicated volume of the
Lecture Notes in Computer Science series.
Indicative topics include but are not limited to:
* Systems that create drawings, images, animations, sculptures,
poetry, text, designs, webpages, buildings, etc.;
* Systems that create musical pieces, sounds, instruments, voices,
sound effects, sound analysis, etc.;
* Systems that create artefacts such as game content, architecture,
furniture, based on aesthetic and/or functional criteria;
* Systems that resort to artificial intelligence to perform the
analysis of image, music, sound, sculpture, or some other types of
* Systems in which artificial intelligence is used to promote the
creativity of a human user;
* Theories or models of computational aesthetics;
* Computational models of emotional response, surprise, novelty;
* Representation techniques for images, videos, music, etc.;
* Surveys of the current state-of-the-art in the area;
* New ways of integrating the user in the process (e.g. improvisation,
Episodic memories are widely regarded as memories of personally experienced
events. Early concepts about episodic memory were based on the storage
model, according to which experiential content is preserved in memory and
later retrieved. However, overwhelming empirical evidence suggests that the
content of episodic memory is – at least to a certain degree – constructed
in the act of remembering. Even though very few contemporary researchers
would oppose this view of episodic memory as a generative process, it has
not become the standard paradigm of empirical memory research. This is
particularly true for studies of the neural correlates of episodic memory.
Further hindering progress are large conceptual differences regarding
episodic memory across different fields, such as neuroscience, philosophy,
and psychology. This interdisciplinary workshop therefore aims to bring
together researchers from all relevant fields to advance the state of the
art in the research on generative episodic memory.
FOR 2812 “Constructing scenarios of the past: A new framework in episodic
memory” consists of 9 researchers. Seven from the Ruhr University Bochum and
two from the University of Münster. The consortium adopts an
interdisciplinary approach and investigates generative episodic memory from
a conceptual, modeling, and experimental perspective using a common
conceptual framework: scenario construction.
Karl-Heinz Bäuml – University Regensburg, Germany
Dorthe Berntsen – Aarhus University, Denmark
Amy Criss – University of Syracuse, USA
Dorothea Debus – University of Konstanz, Germany
David Huber – University of Massachusetts, USA
Sarah Robins – University of Kansas, USA
Abstracts must be submitted in English and be no longer than 1 page.
Submitted work must be original and unpublished. Abstracts must be submitted
electronically through the GEM 2021 paper submission site on EasyChair
Authors will receive confirmation of receipt of their abstracts including an
ID number after submission. You can edit your submission at any time before
the deadline. We will consider only the final version.
Nikolai Axmacher – Faculty of Psychology – Ruhr University Bochum
Sen Cheng – Institute for Neural Computation – Ruhr University Bochum
Gerald Echterhoff – Faculty of Psychology – University of Münster
Albert Newen – Faculty of Philosophy – Ruhr University Bochum
Ricarda Schubotz – Faculty of Psychology – University of Münster
Markus Werning – Faculty of Philosophy – Ruhr University Bochum
Laurenz Wiskott – Institute for Neural Computation – Ruhr University Bochum
Oliver Wolf – Faculty of Psychology – Ruhr University Bochum
1st Call for papers for the EvoStar conference
(Apologies for cross-posting)
EvoStar comprises of four co-located conferences run each spring at
different locations throughout Europe. These events arose out of
workshops originally developed by EvoNet, the Network of Excellence in
Evolutionary Computing, established by the Information Societies
Technology Programme of the European Commission, and they represent a
continuity of research collaboration stretching back over 20 years.
EvoStar is organised by SPECIES, the Society for the Promotion of
Evolutionary Computation in Europe and its Surroundings. This
non-profit academic society is committed to promoting evolutionary
algorithmic thinking, with the inspiration of parallel algorithms
derived from natural processes. It provides a forum for information
We will be organizing a one-day workshop on mental effort within this year’s CogSci 2020 conference (see details below or in the attached document).
We would be grateful if you could forward our call for posters to your students, or anyone else who you think would be interested in attending the workshop.
Poster presentations will be available particularly for early career researchers.
Submission of 250 word abstract: June 29, 2020
Decision of acceptance: July 6, 2020
Workshop: July 29, 2020
======= Call for abstracts =======
Are you working on a project or thesis related to mental effort and want to discuss your ideas? If so, we are inviting you to present a poster during our virtual poster session.
To apply, please submit a 250 word abstract as PDF to firstname.lastname@example.org<mailto:email@example.com>. Your submission title should follow the format “LastName_poster.pdf”.
Conference registration fees are being offered at substantially reduced rates and the Cognitive Science Society is offering free membership.
For more information about the CogSci virtual poster format see: https://cognitivesciencesociety.org/cogsci-virtual/
======= Scope and Goal of the Workshop =======
We can all feel exhausted after a day of work, even if we have spent it sitting at a desk. The intuitive concept of mental effort pervades virtually all domains of human information processing and has become an indispensable ingredient for general theories of cognition. However, inconsistent use of the term across cognitive sciences, including cognitive psychology, education, human-factors engineering and artificial intelligence, makes it one of the least well-defined theoretical constructs across fields.
A number of recent approaches lay the foundation for a consensus by offering formal accounts of mental effort. Yet, reaching a multifield-wide consensus on the operationalization of mental effort will require cross-talk between different empirical and computational approaches, including symbolic architectures, non-parametric Bayesian statistics and neural networks. The purpose of this full-day workshop is to review and integrate these emerging perspectives. To achieve this goal, we invited experts in these fields to present an accessible summary of their research, and allocate ample time for dialogue and audience participation across two panel discussions and a poster session. Key questions of discussion will include (but are not limited to):
* What are the experimental phenomena that lay a foundation for theories of mental effort?
* What is the common ground in operationalizing mental effort across different domains of cognitive science?
* Which modeling approach(es) is (are) best suited to answer which questions regarding mental effort?
The workshop is specifically designed to attract scholars with expertise in different modeling frameworks who seek to expand their interest to other methodologies.
======= List of Speakers =======
Matthew M. Botvinick (Google Deepmind, University College London)
Jonathan D. Cohen (Princeton University, Princeton Neuroscience Institute)
Ivan Grahek (Brown University)
Thomas L. Griffiths (Princeton University)
Wouter Kool (Washington University in St. Louis)
Sebastian Musslick (Princeton University)
Lena Rosendhal (Princeton University)
Nele Russwinkel (Technische Universität Berlin)
Amitai Shenhav (Brown University)
Eliana Vassena (Radboud University)
Tom Verguts (Ghent University)
Maria Wirzberger (University of Stuttgart)
Assist. Prof. Dr. Maria Wirzberger
Department of Teaching and learning with intelligent systems
University of Stuttgart
Institute of Educational Science
70174 Stuttgart, Germany
LEAD Graduate School & Research Network
Max Planck Institute for Intelligent Systems
KI is one of the major European AI conferences and traditionally brings together academic and industrial researchers from all areas of AI, providing an ideal place for exchanging news and research results on theory and applications. The technical program of KI2020 comprises paper presentations as well as tutorials and workshops. Please find the detailled scope of the conference and submission information in the Call for Papers.
The technical program of KI2020 comprises paper presentations as well as tutorials and a workshop.